ReviewFrontiers in immunology2020
Looking for the Optimal PD-1/PD-L1 Inhibitor in Cancer Treatment: A Comparison in Basic Structure, Function, and Clinical Practice.
Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
60 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Use of PD-1/PD-L1 inhibitors in non-small cell lung cancer in elderly patients: a meta-analysis and systematic review of randomized clinical trials.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Pooled it
- Long-term outcomes of PD-1 inhibitors plus chemotherapy as first-line treatment for advanced HER2-negative gastric cancer: an updated systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Treatment-emergent antidrug antibodies related to PD-1, PD-L1, or CTLA-4 inhibitors across tumor types: a systematic review.Journal for immunotherapy of cancer · 2024Pooled it
- Cutaneous adverse events in patients treated with PD-1/PD-L1 checkpoint inhibitors and their association with survival: a systematic review and meta-analysis.Scientific reports · 2022Pooled it
- Effect of proton pump inhibitors on the clinical outcomes of PD-1/PD-L1 inhibitor in solid cancer patients.Medicine · 2022Pooled it
- Prognostic Nutritional Index Predicts Response and Prognosis in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.Frontiers in nutrition · 2022Pooled it
- Exploring FDA-approved small molecules for their potential as PD-1/PD-L1 inhibitors: integrating computational screening with experimental testing.Journal of molecular modeling · 2026Article
- Modulatory role of Akkermansia muciniphila in cancer pathophysiology: a systematic review and meta-analysis of preclinical studies.Gut pathogens · 2026Review
- Homologous Recombination Deficiency in Skin Cancers: Prevalence and Clinical Implications of This Distinct Patient Cohort.JCO precision oncology · 2026Article
- Mesenchymal Stem Cells Modulate Regulatory T Cells: From Molecular Mechanisms to Disease Therapy.Stem cells international · 2026Review
- Novel PD-L1 Small-Molecule Inhibitors Advancing Cancer Immunotherapy.Anti-cancer agents in medicinal chemistry · 2026Review
- A Bead-Based Screening Platform for Identifying Monoclonal Antibodies That Disrupt PD-1/PD-L1 Interactions.Journal of immunology research · 2026Article
- The role of programmed cell death 1 in autoimmune diseases: mechanisms and therapeutic implications.Frontiers in immunology · 2026Review
- Microbiome and cancer: mechanistic insights, diagnostic potential, and therapeutic strategies.Frontiers in cell and developmental biology · 2026Review
- Advances in Cutaneous Melanoma Therapy: The Emerging Role of CDK4/6 Inhibitors.Pharmacological research · 2025Review
- Metformin as an anti-cancer agent against bladder cancer acts via PD-L1 downregulation in an orthotopic mouse model.BMC cancer · 2025Article
- The synergistic potential of camrelizumab and rivoceranib in advanced hepatocellular carcinoma: a review of current evidence.Annals of medicine and surgery (2012) · 2025Review
- Tislelizumab: Structural Innovations and Expanding Clinical Horizons in Next-Generation PD-1 Immunotherapy.Chronic diseases and translational medicine · 2025Review
- The role and mechanism of ARID1A in immunotherapy of gastric cancer.Clinical and experimental medicine · 2025Article
- Myomedin variants developed for in vitro PD-L1 diagnostics in tissue samples of non-small cell lung carcinoma patients.Journal of translational medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Programmed cell death protein-1/ligand 1 (PD-1/L1) targeted immune checkpoint inhibitors have become the focus of tumor treatment due to their promising efficacy. Currently, several PD-1/PD-L1 inhibitors have been approved for clinical practice with several more in clinical trials. Notably, based on available trial data, the selection of different PD-1/PD-L1 inhibitors in the therapeutic application and the corresponding efficacy varies. Widespread attention then is increasingly raised to the clinical comparability of different PD-1/PD-L1 inhibitors. The comparison of the inhibitors could not only help clinicians make in-depth understanding of them, but also further facilitate the selection of the optimal inhibitor for patients in treatment as well as for future clinical research and the development of new related drugs. As we all know, molecular structure could determine molecular function, which further affects their application. Therefore, in this review, we aim to comprehensively compare the structural basis, molecular biological functions, and clinical practice of different PD-1/PD-L1 inhibitors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.